Research on a hybrid ERT image reconstruction algorithm based on GA

In order to resolve the low image reconstruction quality problem of electrical resistance tomography and fulfill the measurement precision requirement for multi-phase flow, a hybrid algorithm based on genetic algorithm was proposed. The hybrid algorithm introduces linear back projection, modified Newton-Raphson method and divided interval into the population initialization of genetic algorithm, and applies particle swarm optimization to the mutation operation in order to overcome the poor local searching ability and premature convergence of simple genetic algorithm. Experimental results show that the novel algorithm is superior to linear back projection and modified Newton-Raphson method, and can overcome the premature phenomena effectively and improve the reconstruction quality.